Overview

Dataset statistics

Number of variables11
Number of observations572
Missing cells1180
Missing cells (%)18.8%
Duplicate rows1
Duplicate rows (%)0.2%
Total size in memory50.4 KiB
Average record size in memory90.2 B

Variable types

Numeric1
Text6
Unsupported1
Categorical3

Dataset

Description민법 제32조에 근거하여 농림축산식품부장관이 허가한 비영리 사단법인 및 재단법인의 구분, 법인명, 설립일자, 설립목적, 소재지 등 현황 을 제공 합니다.
Author농림축산식품부
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220217000000002037

Alerts

Dataset has 1 (0.2%) duplicate rowsDuplicates
지도감독과 (신규부서) is highly overall correlated with 지도감독과 (정부조직개편) and 1 other fieldsHigh correlation
지도감독과 (정부조직개편) is highly overall correlated with 지도감독과 (신규부서) and 1 other fieldsHigh correlation
지도감독과 (기존부서) is highly overall correlated with 지도감독과 (정부조직개편) and 1 other fieldsHigh correlation
번호 has 157 (27.4%) missing valuesMissing
허가 번호 has 75 (13.1%) missing valuesMissing
단체명 has 75 (13.1%) missing valuesMissing
대표자 has 75 (13.1%) missing valuesMissing
소 재 지 has 75 (13.1%) missing valuesMissing
설립 일자 has 75 (13.1%) missing valuesMissing
설립목적 has 76 (13.3%) missing valuesMissing
Unnamed: 7 has 572 (100.0%) missing valuesMissing
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 03:30:12.656572
Analysis finished2023-12-11 03:30:14.775990
Duration2.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

MISSING 

Distinct415
Distinct (%)100.0%
Missing157
Missing (%)27.4%
Infinite0
Infinite (%)0.0%
Mean208.25542
Minimum1
Maximum416
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-11T12:30:14.870660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.7
Q1104.5
median208
Q3312.5
95-th percentile395.3
Maximum416
Range415
Interquartile range (IQR)208

Descriptive statistics

Standard deviation120.27457
Coefficient of variation (CV)0.57753394
Kurtosis-1.1993358
Mean208.25542
Median Absolute Deviation (MAD)104
Skewness0.0046713219
Sum86426
Variance14465.973
MonotonicityStrictly increasing
2023-12-11T12:30:15.033495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1
 
0.2%
285 1
 
0.2%
284 1
 
0.2%
283 1
 
0.2%
282 1
 
0.2%
281 1
 
0.2%
280 1
 
0.2%
279 1
 
0.2%
278 1
 
0.2%
277 1
 
0.2%
Other values (405) 405
70.8%
(Missing) 157
 
27.4%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
416 1
0.2%
415 1
0.2%
414 1
0.2%
413 1
0.2%
412 1
0.2%
411 1
0.2%
410 1
0.2%
409 1
0.2%
408 1
0.2%
407 1
0.2%

허가 번호
Text

MISSING 

Distinct497
Distinct (%)100.0%
Missing75
Missing (%)13.1%
Memory size4.6 KiB
2023-12-11T12:30:15.548312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.9315895
Min length1

Characters and Unicode

Total characters1457
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique497 ?
Unique (%)100.0%

Sample

1st row1
2nd row2
3rd row3
4th row5
5th row8
ValueCountFrequency (%)
52 1
 
0.2%
469 1
 
0.2%
489 1
 
0.2%
488 1
 
0.2%
487 1
 
0.2%
486 1
 
0.2%
485 1
 
0.2%
484 1
 
0.2%
481 1
 
0.2%
480 1
 
0.2%
Other values (487) 487
98.0%
2023-12-11T12:30:16.237625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 186
12.8%
5 183
12.6%
2 181
12.4%
3 181
12.4%
1 176
12.1%
4 166
11.4%
7 100
6.9%
8 96
6.6%
9 95
6.5%
0 88
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1452
99.7%
Dash Punctuation 5
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 186
12.8%
5 183
12.6%
2 181
12.5%
3 181
12.5%
1 176
12.1%
4 166
11.4%
7 100
6.9%
8 96
6.6%
9 95
6.5%
0 88
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1457
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 186
12.8%
5 183
12.6%
2 181
12.4%
3 181
12.4%
1 176
12.1%
4 166
11.4%
7 100
6.9%
8 96
6.6%
9 95
6.5%
0 88
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1457
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 186
12.8%
5 183
12.6%
2 181
12.4%
3 181
12.4%
1 176
12.1%
4 166
11.4%
7 100
6.9%
8 96
6.6%
9 95
6.5%
0 88
6.0%

단체명
Text

MISSING 

Distinct496
Distinct (%)99.8%
Missing75
Missing (%)13.1%
Memory size4.6 KiB
2023-12-11T12:30:16.444506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length18
Mean length9.1629779
Min length3

Characters and Unicode

Total characters4554
Distinct characters385
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique495 ?
Unique (%)99.6%

Sample

1st row대한잠사회
2nd row대한곡물협회
3rd row한국제분협회
4th rowFAO한국협회
5th row한국사료협회
ValueCountFrequency (%)
사 8
 
1.5%
운동본부 2
 
0.4%
연합회 2
 
0.4%
연구원 2
 
0.4%
서울마주협회 2
 
0.4%
한국마늘산업연합회 1
 
0.2%
동물보호시민단체 1
 
0.2%
전국농근회우엉·마협회 1
 
0.2%
한국산업식품공학회 1
 
0.2%
한국쌀산업협회 1
 
0.2%
Other values (509) 509
96.0%
2023-12-11T12:30:16.815364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 362
 
7.9%
국 357
 
7.8%
한 337
 
7.4%
협 227
 
5.0%
농 162
 
3.6%
연 126
 
2.8%
산 110
 
2.4%
식 84
 
1.8%
업 81
 
1.8%
구 66
 
1.4%
Other values (375) 2642
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4409
96.8%
Uppercase Letter 37
 
0.8%
Space Separator 23
 
0.5%
Lowercase Letter 21
 
0.5%
Close Punctuation 18
 
0.4%
Open Punctuation 18
 
0.4%
Other Punctuation 13
 
0.3%
Control 12
 
0.3%
Modifier Symbol 2
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 362
 
8.2%
국 357
 
8.1%
한 337
 
7.6%
협 227
 
5.1%
농 162
 
3.7%
연 126
 
2.9%
산 110
 
2.5%
식 84
 
1.9%
업 81
 
1.8%
구 66
 
1.5%
Other values (342) 2497
56.6%
Uppercase Letter
ValueCountFrequency (%)
A 7
18.9%
C 5
13.5%
P 5
13.5%
G 4
10.8%
B 4
10.8%
O 4
10.8%
L 2
 
5.4%
F 2
 
5.4%
K 1
 
2.7%
M 1
 
2.7%
Other values (2) 2
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
o 4
19.0%
i 3
14.3%
e 3
14.3%
f 2
9.5%
s 2
9.5%
a 2
9.5%
n 1
 
4.8%
t 1
 
4.8%
c 1
 
4.8%
r 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 6
46.2%
· 5
38.5%
, 1
 
7.7%
& 1
 
7.7%
Space Separator
ValueCountFrequency (%)
23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Control
ValueCountFrequency (%)
12
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Decimal Number
ValueCountFrequency (%)
6 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4408
96.8%
Common 87
 
1.9%
Latin 58
 
1.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 362
 
8.2%
국 357
 
8.1%
한 337
 
7.6%
협 227
 
5.1%
농 162
 
3.7%
연 126
 
2.9%
산 110
 
2.5%
식 84
 
1.9%
업 81
 
1.8%
구 66
 
1.5%
Other values (341) 2496
56.6%
Latin
ValueCountFrequency (%)
A 7
12.1%
C 5
 
8.6%
P 5
 
8.6%
G 4
 
6.9%
B 4
 
6.9%
O 4
 
6.9%
o 4
 
6.9%
i 3
 
5.2%
e 3
 
5.2%
f 2
 
3.4%
Other values (13) 17
29.3%
Common
ValueCountFrequency (%)
23
26.4%
) 18
20.7%
( 18
20.7%
12
13.8%
. 6
 
6.9%
· 5
 
5.7%
` 2
 
2.3%
, 1
 
1.1%
& 1
 
1.1%
6 1
 
1.1%
Han
ValueCountFrequency (%)
新 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4408
96.8%
ASCII 140
 
3.1%
None 5
 
0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 362
 
8.2%
국 357
 
8.1%
한 337
 
7.6%
협 227
 
5.1%
농 162
 
3.7%
연 126
 
2.9%
산 110
 
2.5%
식 84
 
1.9%
업 81
 
1.8%
구 66
 
1.5%
Other values (341) 2496
56.6%
ASCII
ValueCountFrequency (%)
23
16.4%
) 18
12.9%
( 18
12.9%
12
 
8.6%
A 7
 
5.0%
. 6
 
4.3%
C 5
 
3.6%
P 5
 
3.6%
G 4
 
2.9%
B 4
 
2.9%
Other values (22) 38
27.1%
None
ValueCountFrequency (%)
· 5
100.0%
CJK
ValueCountFrequency (%)
新 1
100.0%

대표자
Text

MISSING 

Distinct477
Distinct (%)96.0%
Missing75
Missing (%)13.1%
Memory size4.6 KiB
2023-12-11T12:30:17.140274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0261569
Min length2

Characters and Unicode

Total characters1504
Distinct characters180
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique462 ?
Unique (%)93.0%

Sample

1st row윤장근
2nd row전병기
3rd row이희상
4th row이상무
5th row조남조
ValueCountFrequency (%)
이상무 5
 
1.0%
황민영 4
 
0.8%
왕성우 2
 
0.4%
양향자 2
 
0.4%
이승호 2
 
0.4%
최계조 2
 
0.4%
조대권 2
 
0.4%
신말식 2
 
0.4%
안종운 2
 
0.4%
김문규 2
 
0.4%
Other values (471) 478
95.0%
2023-12-11T12:30:17.913718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 90
 
6.0%
이 83
 
5.5%
정 45
 
3.0%
박 36
 
2.4%
상 27
 
1.8%
성 27
 
1.8%
강 26
 
1.7%
기 24
 
1.6%
진 24
 
1.6%
영 24
 
1.6%
Other values (170) 1098
73.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1496
99.5%
Space Separator 4
 
0.3%
Control 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 90
 
6.0%
이 83
 
5.5%
정 45
 
3.0%
박 36
 
2.4%
상 27
 
1.8%
성 27
 
1.8%
강 26
 
1.7%
기 24
 
1.6%
진 24
 
1.6%
영 24
 
1.6%
Other values (168) 1090
72.9%
Space Separator
ValueCountFrequency (%)
4
100.0%
Control
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1496
99.5%
Common 8
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 90
 
6.0%
이 83
 
5.5%
정 45
 
3.0%
박 36
 
2.4%
상 27
 
1.8%
성 27
 
1.8%
강 26
 
1.7%
기 24
 
1.6%
진 24
 
1.6%
영 24
 
1.6%
Other values (168) 1090
72.9%
Common
ValueCountFrequency (%)
4
50.0%
4
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1496
99.5%
ASCII 8
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 90
 
6.0%
이 83
 
5.5%
정 45
 
3.0%
박 36
 
2.4%
상 27
 
1.8%
성 27
 
1.8%
강 26
 
1.7%
기 24
 
1.6%
진 24
 
1.6%
영 24
 
1.6%
Other values (168) 1090
72.9%
ASCII
ValueCountFrequency (%)
4
50.0%
4
50.0%

소 재 지
Text

MISSING 

Distinct480
Distinct (%)96.6%
Missing75
Missing (%)13.1%
Memory size4.6 KiB
2023-12-11T12:30:18.321918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length36
Mean length25.156942
Min length13

Characters and Unicode

Total characters12503
Distinct characters366
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique468 ?
Unique (%)94.2%

Sample

1st row서울 영등포구 의사당대로 26 잠사회관
2nd row서울 서초구 방배동 1031-1
3rd row서울 중구 남대문로 5가 118
4th row경기도 안양시 동안구 비산동 1112-1 안양건설타원 1313호
5th row서울 서초구 서초동 1581-13
ValueCountFrequency (%)
서울 205
 
7.3%
서초구 85
 
3.0%
서울시 69
 
2.5%
경기도 61
 
2.2%
중구 35
 
1.2%
강남구 33
 
1.2%
양재동 31
 
1.1%
송파구 30
 
1.1%
경기 29
 
1.0%
서울특별시 27
 
1.0%
Other values (1382) 2199
78.4%
2023-12-11T12:30:18.927520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2258
 
18.1%
1 577
 
4.6%
서 467
 
3.7%
구 423
 
3.4%
동 401
 
3.2%
2 384
 
3.1%
울 311
 
2.5%
0 299
 
2.4%
3 276
 
2.2%
- 262
 
2.1%
Other values (356) 6845
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7067
56.5%
Decimal Number 2620
 
21.0%
Space Separator 2258
 
18.1%
Dash Punctuation 262
 
2.1%
Control 75
 
0.6%
Other Punctuation 60
 
0.5%
Open Punctuation 52
 
0.4%
Close Punctuation 52
 
0.4%
Uppercase Letter 37
 
0.3%
Lowercase Letter 18
 
0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 467
 
6.6%
구 423
 
6.0%
동 401
 
5.7%
울 311
 
4.4%
시 255
 
3.6%
로 194
 
2.7%
호 190
 
2.7%
경 136
 
1.9%
대 122
 
1.7%
도 119
 
1.7%
Other values (323) 4449
63.0%
Decimal Number
ValueCountFrequency (%)
1 577
22.0%
2 384
14.7%
0 299
11.4%
3 276
10.5%
5 242
9.2%
4 223
 
8.5%
7 185
 
7.1%
6 183
 
7.0%
8 134
 
5.1%
9 117
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
T 16
43.2%
B 5
 
13.5%
D 4
 
10.8%
L 3
 
8.1%
A 2
 
5.4%
K 2
 
5.4%
H 2
 
5.4%
S 1
 
2.7%
G 1
 
2.7%
V 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 56
93.3%
/ 2
 
3.3%
. 2
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
a 16
88.9%
t 1
 
5.6%
n 1
 
5.6%
Space Separator
ValueCountFrequency (%)
2258
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 262
100.0%
Control
ValueCountFrequency (%)
75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7067
56.5%
Common 5380
43.0%
Latin 55
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 467
 
6.6%
구 423
 
6.0%
동 401
 
5.7%
울 311
 
4.4%
시 255
 
3.6%
로 194
 
2.7%
호 190
 
2.7%
경 136
 
1.9%
대 122
 
1.7%
도 119
 
1.7%
Other values (323) 4449
63.0%
Common
ValueCountFrequency (%)
2258
42.0%
1 577
 
10.7%
2 384
 
7.1%
0 299
 
5.6%
3 276
 
5.1%
- 262
 
4.9%
5 242
 
4.5%
4 223
 
4.1%
7 185
 
3.4%
6 183
 
3.4%
Other values (9) 491
 
9.1%
Latin
ValueCountFrequency (%)
T 16
29.1%
a 16
29.1%
B 5
 
9.1%
D 4
 
7.3%
L 3
 
5.5%
A 2
 
3.6%
K 2
 
3.6%
H 2
 
3.6%
S 1
 
1.8%
G 1
 
1.8%
Other values (3) 3
 
5.5%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7066
56.5%
ASCII 5435
43.5%
None 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2258
41.5%
1 577
 
10.6%
2 384
 
7.1%
0 299
 
5.5%
3 276
 
5.1%
- 262
 
4.8%
5 242
 
4.5%
4 223
 
4.1%
7 185
 
3.4%
6 183
 
3.4%
Other values (22) 546
 
10.0%
Hangul
ValueCountFrequency (%)
서 467
 
6.6%
구 423
 
6.0%
동 401
 
5.7%
울 311
 
4.4%
시 255
 
3.6%
로 194
 
2.7%
호 190
 
2.7%
경 136
 
1.9%
대 122
 
1.7%
도 119
 
1.7%
Other values (322) 4448
62.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

설립 일자
Text

MISSING 

Distinct454
Distinct (%)91.3%
Missing75
Missing (%)13.1%
Memory size4.6 KiB
2023-12-11T12:30:19.333424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length10
Mean length9.4788732
Min length7

Characters and Unicode

Total characters4711
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique418 ?
Unique (%)84.1%

Sample

1st row1946. 7.12
2nd row1954. 2.12
3rd row1955.12.31
4th row1957.12.10
5th row1961. 7. 3
ValueCountFrequency (%)
7 21
 
3.1%
4 15
 
2.2%
2013 15
 
2.2%
2002 14
 
2.1%
8 11
 
1.6%
1999 11
 
1.6%
6 8
 
1.2%
2 7
 
1.0%
5 7
 
1.0%
2010 6
 
0.9%
Other values (448) 555
82.8%
2023-12-11T12:30:19.809192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 995
21.1%
1 786
16.7%
2 777
16.5%
0 746
15.8%
9 359
 
7.6%
3 188
 
4.0%
172
 
3.7%
8 148
 
3.1%
7 147
 
3.1%
6 135
 
2.9%
Other values (5) 258
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3541
75.2%
Other Punctuation 995
 
21.1%
Space Separator 172
 
3.7%
Control 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 786
22.2%
2 777
21.9%
0 746
21.1%
9 359
10.1%
3 188
 
5.3%
8 148
 
4.2%
7 147
 
4.2%
6 135
 
3.8%
4 135
 
3.8%
5 120
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 995
100.0%
Space Separator
ValueCountFrequency (%)
172
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4711
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 995
21.1%
1 786
16.7%
2 777
16.5%
0 746
15.8%
9 359
 
7.6%
3 188
 
4.0%
172
 
3.7%
8 148
 
3.1%
7 147
 
3.1%
6 135
 
2.9%
Other values (5) 258
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4711
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 995
21.1%
1 786
16.7%
2 777
16.5%
0 746
15.8%
9 359
 
7.6%
3 188
 
4.0%
172
 
3.7%
8 148
 
3.1%
7 147
 
3.1%
6 135
 
2.9%
Other values (5) 258
 
5.5%

설립목적
Text

MISSING 

Distinct495
Distinct (%)99.8%
Missing76
Missing (%)13.3%
Memory size4.6 KiB
2023-12-11T12:30:20.179613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length265
Median length127
Mean length73.181452
Min length12

Characters and Unicode

Total characters36298
Distinct characters573
Distinct categories16 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique494 ?
Unique (%)99.6%

Sample

1st row양잠, 상묘, 잠종, 제사업 등 잠사업 종사회원에 대한 지원지도, 기술보급 및 개발, 홍보, 조사연구와 잠사관련 민간행사주관 및 대정부 위임사업 수행 등을 통해 회원의 복리증진과 잠사업의 진흥발전에 기여함
2nd row양곡도정업과 양곡 보관업의 건전한 발전과 국가양곡정책 수행에 기여
3rd row제분공업의 건전한 발전과 국책수행 협조
4th row우리나라와 UN_FAO상호간의 유기적인 연결 및 우방제국과의 기술 ·자료 교환 추진
5th row배합사료 제조업의 선진국 과학기술 향상과 사료가공업 및 축산진흥에 기여
ValueCountFrequency (%)
및 464
 
5.6%
기여 166
 
2.0%
위한 95
 
1.1%
등 76
 
0.9%
통해 73
 
0.9%
관한 70
 
0.8%
도모 64
 
0.8%
통하여 63
 
0.8%
발전에 62
 
0.7%
통한 61
 
0.7%
Other values (3736) 7073
85.6%
2023-12-11T12:30:20.681133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7797
 
21.5%
의 890
 
2.5%
농 641
 
1.8%
업 637
 
1.8%
, 628
 
1.7%
을 626
 
1.7%
산 585
 
1.6%
한 557
 
1.5%
기 514
 
1.4%
전 512
 
1.4%
Other values (563) 22911
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27343
75.3%
Space Separator 7797
 
21.5%
Other Punctuation 867
 
2.4%
Uppercase Letter 86
 
0.2%
Lowercase Letter 68
 
0.2%
Control 42
 
0.1%
Close Punctuation 24
 
0.1%
Open Punctuation 22
 
0.1%
Decimal Number 17
 
< 0.1%
Modifier Symbol 15
 
< 0.1%
Other values (6) 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 890
 
3.3%
농 641
 
2.3%
업 637
 
2.3%
을 626
 
2.3%
산 585
 
2.1%
한 557
 
2.0%
기 514
 
1.9%
전 512
 
1.9%
에 485
 
1.8%
및 476
 
1.7%
Other values (498) 21420
78.3%
Uppercase Letter
ValueCountFrequency (%)
A 16
18.6%
G 13
15.1%
P 12
14.0%
O 6
 
7.0%
D 6
 
7.0%
I 5
 
5.8%
M 4
 
4.7%
W 4
 
4.7%
T 4
 
4.7%
N 3
 
3.5%
Other values (7) 13
15.1%
Lowercase Letter
ValueCountFrequency (%)
n 11
16.2%
i 9
13.2%
r 8
11.8%
o 7
10.3%
e 6
8.8%
a 6
8.8%
t 5
7.4%
g 3
 
4.4%
s 3
 
4.4%
c 3
 
4.4%
Other values (4) 7
10.3%
Other Punctuation
ValueCountFrequency (%)
, 628
72.4%
· 96
 
11.1%
? 69
 
8.0%
. 67
 
7.7%
' 3
 
0.3%
& 2
 
0.2%
* 1
 
0.1%
: 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 6
35.3%
2 5
29.4%
6 2
 
11.8%
5 1
 
5.9%
8 1
 
5.9%
3 1
 
5.9%
4 1
 
5.9%
Other Number
ValueCountFrequency (%)
⑤ 1
20.0%
④ 1
20.0%
③ 1
20.0%
② 1
20.0%
① 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 23
95.8%
」 1
 
4.2%
Open Punctuation
ValueCountFrequency (%)
( 21
95.5%
「 1
 
4.5%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
75.0%
“ 1
 
25.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
66.7%
” 1
33.3%
Space Separator
ValueCountFrequency (%)
7797
100.0%
Control
ValueCountFrequency (%)
42
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
○ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27343
75.3%
Common 8801
 
24.2%
Latin 154
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 890
 
3.3%
농 641
 
2.3%
업 637
 
2.3%
을 626
 
2.3%
산 585
 
2.1%
한 557
 
2.0%
기 514
 
1.9%
전 512
 
1.9%
에 485
 
1.8%
및 476
 
1.7%
Other values (498) 21420
78.3%
Common
ValueCountFrequency (%)
7797
88.6%
, 628
 
7.1%
· 96
 
1.1%
? 69
 
0.8%
. 67
 
0.8%
42
 
0.5%
) 23
 
0.3%
( 21
 
0.2%
` 15
 
0.2%
1 6
 
0.1%
Other values (24) 37
 
0.4%
Latin
ValueCountFrequency (%)
A 16
 
10.4%
G 13
 
8.4%
P 12
 
7.8%
n 11
 
7.1%
i 9
 
5.8%
r 8
 
5.2%
o 7
 
4.5%
O 6
 
3.9%
D 6
 
3.9%
e 6
 
3.9%
Other values (21) 60
39.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27337
75.3%
ASCII 8843
 
24.4%
None 98
 
0.3%
Punctuation 7
 
< 0.1%
Compat Jamo 6
 
< 0.1%
Enclosed Alphanum 5
 
< 0.1%
Geometric Shapes 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7797
88.2%
, 628
 
7.1%
? 69
 
0.8%
. 67
 
0.8%
42
 
0.5%
) 23
 
0.3%
( 21
 
0.2%
A 16
 
0.2%
` 15
 
0.2%
G 13
 
0.1%
Other values (42) 152
 
1.7%
Hangul
ValueCountFrequency (%)
의 890
 
3.3%
농 641
 
2.3%
업 637
 
2.3%
을 626
 
2.3%
산 585
 
2.1%
한 557
 
2.0%
기 514
 
1.9%
전 512
 
1.9%
에 485
 
1.8%
및 476
 
1.7%
Other values (496) 21414
78.3%
None
ValueCountFrequency (%)
· 96
98.0%
」 1
 
1.0%
「 1
 
1.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 5
83.3%
ㆍ 1
 
16.7%
Punctuation
ValueCountFrequency (%)
‘ 3
42.9%
’ 2
28.6%
” 1
 
14.3%
“ 1
 
14.3%
Geometric Shapes
ValueCountFrequency (%)
○ 2
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
⑤ 1
20.0%
④ 1
20.0%
③ 1
20.0%
② 1
20.0%
① 1
20.0%

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing572
Missing (%)100.0%
Memory size5.2 KiB

지도감독과 (정부조직개편)
Categorical

HIGH CORRELATION 

Distinct38
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
75 
원예경영과
39 
원예산업과
38 
축산경영과
 
35
친환경농업과
 
34
Other values (33)
351 

Length

Max length12
Median length5
Mean length5.3566434
Min length4

Unique

Unique6 ?
Unique (%)1.0%

Sample

1st row종자생명산업과
2nd row식량정책과
3rd row식량정책과
4th row국제협력총괄과
5th row축산경영과

Common Values

ValueCountFrequency (%)
<NA> 75
 
13.1%
원예경영과 39
 
6.8%
원예산업과 38
 
6.6%
축산경영과 35
 
6.1%
친환경농업과 34
 
5.9%
외식산업진흥과 33
 
5.8%
축산정책과 33
 
5.8%
소비정책과 24
 
4.2%
경영인력과 23
 
4.0%
농업정책과 23
 
4.0%
Other values (28) 215
37.6%

Length

2023-12-11T12:30:20.821454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 75
 
13.1%
원예경영과 39
 
6.8%
원예산업과 38
 
6.6%
축산경영과 35
 
6.1%
친환경농업과 34
 
5.9%
외식산업진흥과 33
 
5.8%
축산정책과 33
 
5.8%
소비정책과 24
 
4.2%
농업정책과 23
 
4.0%
경영인력과 23
 
4.0%
Other values (29) 216
37.7%

지도감독과 (신규부서)
Categorical

HIGH CORRELATION 

Distinct37
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
120 
원예경영과
38 
원예산업과
36 
축산경영과
33 
외식산업진흥과
 
31
Other values (32)
314 

Length

Max length8
Median length7
Mean length5.2902098
Min length4

Unique

Unique3 ?
Unique (%)0.5%

Sample

1st row종자생명산업과
2nd row식량정책과
3rd row식량산업과
4th row국제협력총괄과
5th row축산경영과

Common Values

ValueCountFrequency (%)
<NA> 120
21.0%
원예경영과 38
 
6.6%
원예산업과 36
 
6.3%
축산경영과 33
 
5.8%
외식산업진흥과 31
 
5.4%
축산정책과 31
 
5.4%
친환경농업과 30
 
5.2%
식품산업정책과 29
 
5.1%
농업정책과 21
 
3.7%
경영인력과 19
 
3.3%
Other values (27) 184
32.2%

Length

2023-12-11T12:30:21.022011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 120
21.0%
원예경영과 38
 
6.6%
원예산업과 36
 
6.3%
축산경영과 33
 
5.8%
외식산업진흥과 31
 
5.4%
축산정책과 31
 
5.4%
친환경농업과 30
 
5.2%
식품산업정책과 29
 
5.1%
농업정책과 21
 
3.7%
유통정책과 19
 
3.3%
Other values (27) 184
32.2%

지도감독과 (기존부서)
Categorical

HIGH CORRELATION 

Distinct36
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
176 
채소특작과
43 
축산경영과
36 
과수화훼과
31 
농촌사회과
28 
Other values (31)
258 

Length

Max length7
Median length6
Mean length5.041958
Min length4

Unique

Unique6 ?
Unique (%)1.0%

Sample

1st row과수화훼과
2nd row식량정책과
3rd row농산경영과
4th row국제협력과
5th row축산경영과

Common Values

ValueCountFrequency (%)
<NA> 176
30.8%
채소특작과 43
 
7.5%
축산경영과 36
 
6.3%
과수화훼과 31
 
5.4%
농촌사회과 28
 
4.9%
친환경농업과 27
 
4.7%
축산정책과 25
 
4.4%
식품산업정책과 24
 
4.2%
외식산업진흥팀 21
 
3.7%
농업정책과 20
 
3.5%
Other values (26) 141
24.7%

Length

2023-12-11T12:30:21.155764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 176
30.8%
채소특작과 43
 
7.5%
축산경영과 37
 
6.5%
과수화훼과 31
 
5.4%
농촌사회과 28
 
4.9%
친환경농업과 27
 
4.7%
축산정책과 25
 
4.4%
식품산업정책과 24
 
4.2%
외식산업진흥팀 21
 
3.7%
농업정책과 20
 
3.5%
Other values (25) 140
24.5%

Interactions

2023-12-11T12:30:13.770867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T12:30:21.236061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호지도감독과 (정부조직개편)지도감독과 (신규부서)지도감독과 (기존부서)
번호1.0000.4390.4430.627
지도감독과\n(정부조직개편)0.4391.0000.9980.994
지도감독과\n(신규부서)0.4430.9981.0000.996
지도감독과\n(기존부서)0.6270.9940.9961.000
2023-12-11T12:30:21.337434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지도감독과 (신규부서)지도감독과 (기존부서)지도감독과 (정부조직개편)
지도감독과\n(신규부서)1.0000.8890.941
지도감독과\n(기존부서)0.8891.0000.836
지도감독과\n(정부조직개편)0.9410.8361.000
2023-12-11T12:30:21.447201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호지도감독과 (정부조직개편)지도감독과 (신규부서)지도감독과 (기존부서)
번호1.0000.1680.1700.281
지도감독과\n(정부조직개편)0.1681.0000.9410.836
지도감독과\n(신규부서)0.1700.9411.0000.889
지도감독과\n(기존부서)0.2810.8360.8891.000

Missing values

2023-12-11T12:30:13.933819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:30:14.128250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-11T12:30:14.627604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

번호허가 번호단체명대표자소 재 지설립 일자설립목적Unnamed: 7지도감독과 (정부조직개편)지도감독과 (신규부서)지도감독과 (기존부서)
011대한잠사회윤장근서울 영등포구 의사당대로 26 잠사회관1946. 7.12양잠, 상묘, 잠종, 제사업 등 잠사업 종사회원에 대한 지원지도, 기술보급 및 개발, 홍보, 조사연구와 잠사관련 민간행사주관 및 대정부 위임사업 수행 등을 통해 회원의 복리증진과 잠사업의 진흥발전에 기여함<NA>종자생명산업과종자생명산업과과수화훼과
122대한곡물협회전병기서울 서초구 방배동 1031-11954. 2.12양곡도정업과 양곡 보관업의 건전한 발전과 국가양곡정책 수행에 기여<NA>식량정책과식량정책과식량정책과
233한국제분협회이희상서울 중구 남대문로 5가 1181955.12.31제분공업의 건전한 발전과 국책수행 협조<NA>식량정책과식량산업과농산경영과
345FAO한국협회이상무경기도 안양시 동안구 비산동 1112-1 안양건설타원 1313호1957.12.10우리나라와 UN_FAO상호간의 유기적인 연결 및 우방제국과의 기술 ·자료 교환 추진<NA>국제협력총괄과국제협력총괄과국제협력과
458한국사료협회조남조서울 서초구 서초동 1581-131961. 7. 3배합사료 제조업의 선진국 과학기술 향상과 사료가공업 및 축산진흥에 기여<NA>축산경영과축산경영과축산경영과
569한국잠종협회강경모서울 영등포구 의사당대로 26 잠사회관1961.12. 6잠종업의 개량발전과 회원 복리증진을 도모함으로써 잠사업의 진흥에 기여함을 목적으로 한다<NA>종자생명산업과종자생명산업과과수화훼과
6710한국상묘협회조상현서울 영등포구 여의도동 17-9 잠사회관1961.11.21상묘 생산의 개량발전과 회원의 복리증진을 도모하므로써 잠사업의 진흥에 기여<NA>종자생명산업과종자생명산업과과수화훼과
7818한국양곡가공협회김진경 이범락충남 연기군 조치원읍 장안로 481966. 7.11양곡가공업의 획기적인 발전과 국가식량 증산 시책에 기여<NA>식량정책과식량정책과식량정책과
8920한국농공학회김진수서울 강남구 역삼동 635-4 과학기술회관 본관 205호1957. 1.26농업공학에 관한 학문연구와 기술발전을 통하여 국가발전과 농업인의 복지 향상에 기여하고 회원상호간의 친목과 권익신장을 목적으로 한다.<NA>농업기반과농업기반과농업기반과
91021한국식생활개발연구회안승춘서울 영등포구 신길1동 115-141969. 2.15식생활 및 영양개선 계몽 보급 운동을 전개하고 국가 양곡정책 수행 협조<NA>농촌복지여성과농어촌사회과농촌사회과
번호허가 번호단체명대표자소 재 지설립 일자설립목적Unnamed: 7지도감독과 (정부조직개편)지도감독과 (신규부서)지도감독과 (기존부서)
562<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
563<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
564<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
565<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
566<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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568<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
569<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
570<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
571<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

번호허가 번호단체명대표자소 재 지설립 일자설립목적지도감독과 (정부조직개편)지도감독과 (신규부서)지도감독과 (기존부서)# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>75